Machine Learning for Predicting Stillbirth: A Systematic Review
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s43032-024-01655-z.pdf
Reference48 articles.
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2. Management of stillbirth. Obstetric care consensus No 10. Obstet Gynecol. 2020;135:e110–32.
3. Robinson GE. Pregnancy loss. Best practice & research clinical obstetrics & Gynaecology. 2014;28:169–78.
4. Campbell HE, Kurinczuk JJ, Heazell A, Leal J, Rivero-Arias O. Healthcare and wider societal implications of stillbirth: a population-based cost-of-illness study. BJOG. 2018;125:108–17.
5. Hug L, You D, Blencowe H, Mishra A, Wang Z, Fix MJ, et al. Global, regional, and national estimates and trends in stillbirths from 2000 to 2019: a systematic assessment. Lancet. 2021;398:772–85.
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